Add feedback processor script

scripts/FeedbackProcessor.py

@@ -0,0 +1,69 @@
+import argparse
+import datetime
+import json
+
+def parse_feedback(json_path):
+    # open the file
+    with open(json_path, 'r') as f:
+        # read the file
+        data = f.read()
+        # convert to object
+        obj = json.loads(data)
+        # return the feedback
+        return obj
+
+def main(json_path):
+    feedbackObj = parse_feedback(json_path)
+    feedback = feedbackObj['data']
+    metadata = feedbackObj['meta']
+    creationTime = datetime.datetime.fromtimestamp(metadata['creationTime'])
+    easiness_values = []
+    usefulness_values = []
+    intervention_counts = {'testing': 0, 'understanding': 0, 'implementing': 0, 'evaluating': 0, 'designing': 0}
+    use_again_count = 0
+
+    for userFeedback in feedback:
+        keys = list(userFeedback)
+        for key in keys:
+            easiness_values.append(userFeedback[key]['easiness'])
+            usefulness_values.append(userFeedback[key]['usefulness'])
+            intervention_counts[userFeedback[key]["intervention"]] += 1
+            if userFeedback[key]['useAgain']:
+                use_again_count += 1
+
+    # sort the values
+    easiness_values.sort()
+    usefulness_values.sort()
+
+    # sort the intervention counts
+    intervention_counts = dict(sorted(intervention_counts.items(), key=lambda item: item[1], reverse=True))
+
+
+
+    print("############ FEEDBACK ANALYSIS ", creationTime, " ############")
+    print("Number of datapoints: ", len(feedback), "\n")
+    # print average, 20%, median, 80%, min, max of easiness and usefulness
+    print("Easiness average: ", sum(easiness_values) / len(easiness_values))
+    print("Easiness 20%: ", easiness_values[int(len(easiness_values) * 0.2)])
+    print("Easiness median: ", easiness_values[int(len(easiness_values) / 2)])
+    print("Easiness 80%: ", easiness_values[int(len(easiness_values) * 0.8)])
+    print("Easiness min: ", min(easiness_values))
+    print("Easiness max: ", max(easiness_values), "\n")
+    print("Usefulness average: ", sum(usefulness_values) / len(usefulness_values))
+    print("Usefulness 20%: ", usefulness_values[int(len(usefulness_values) * 0.2)])
+    print("Usefulness median: ", usefulness_values[int(len(usefulness_values) / 2)])
+    print("Usefulness 80%: ", usefulness_values[int(len(usefulness_values) * 0.8)])
+    print("Usefulness min: ", min(usefulness_values))
+    print("Usefulness max: ", max(usefulness_values), "\n")
+    print("Favourite ntervention counts: ", intervention_counts, "\n")
+    print("Use again: ", use_again_count * 100 / len(feedback), "%\n")
+    print("############ END OF FEEDBACK ANALYSIS ############")
+
+if __name__ == '__main__':
+  # get args from command line
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--json', help='Path to feedback json file', required=True)
+
+    args = parser.parse_args()
+    main(args.json)
+

scripts/Pipfile

@@ -6,6 +6,7 @@ name = "pypi"
 [packages]
 google-api-python-client = "*"
 oauth2client = "*"
+argparse = "*"
 
 [dev-packages]